Data anonymization software for logs, PDFs, and operational datasets
Build a repeatable anonymization pipeline: exclude what shouldn’t be processed, transform identifiers predictably, and export shareable artifacts. DataPrivix is offline-first and built for restricted environments.
Want the overview feature page? Visit Data anonymization. Need a safe starting point? Use the synthetic demo before connecting real artifacts.
A practical anonymization pipeline (not a checkbox feature)
Enterprise workflows need predictable transformations, reviewability, and deployment fit—not a one-off “upload and hope” tool.
Policy-driven rules
Define what to transform, in what order, and with which actions.
Structure preservation
Keep folder trees, file names (Pro), and non-sensitive context usable.
Deployment fit
Run locally or on-prem (wheel/Docker) in restricted environments.
Designed for the artifacts teams actually share
Data anonymization software needs to handle messy, file-based reality: logs, exports, diagnostics, and documents.
Support bundles
Sanitize large diagnostic trees and archives before external sharing.
Logs and traces
Anonymize PII and secrets while preserving event correlation.
Exports and reports
Protect identifiers in CSV-like exports and text dumps.
PDF documents (Pro)
Apply true redaction for native-text PDFs without relying on visual masking.
Guides based on real demos (no fluff)
If you’re building a repeatable pipeline, start with the workflows teams use in practice.
Move from evaluation to production
Start with the demo, then validate on representative samples in your environment before scaling.